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With the increasing amount of surveillance data, moving object segmentation in the compressed domain has drawn broad attention from both academy and industry. In this paper, we propose a novel moving object segmenta-tion method towards H.264 compressed surveillance videos. First, the motion vectors (MV) are accumulated and filtered to achieve reliable(More)
In this paper, we describe BUPT-MCPRL systems for TRECVID 2010. Our team participated in five tasks: semantic indexing, known-item search, content-based copy detection, surveillance event detection and instance search. A brief introduction is shown as follows: In this year, we concentrated on the concept-based retrieval, and proposed several methods to(More)